Tristan Greathouse

Senior Data Scientist at Noodle.ai
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Contact Information
us****@****om
(386) 825-5501
Location
Oakland, California, United States, US

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Credentials

  • Deep Learning Specialization
    Coursera
    Mar, 2022
    - Nov, 2024
  • Sequence Models
    Coursera
    Mar, 2022
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Feb, 2022
    - Nov, 2024
  • SQL for Data Science
    Coursera
    Feb, 2022
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Jun, 2021
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Jun, 2021
    - Nov, 2024
  • Machine Learning
    Coursera
    May, 2021
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    May, 2021
    - Nov, 2024

Experience

    • United States
    • Software Development
    • 100 - 200 Employee
    • Senior Data Scientist
      • Jun 2023 - Present

    • Data Scientist
      • Jul 2022 - Jun 2023

      My primary role at Noodle has been building the infrastructure for our demand forecasting models. Additionally, I've maintained and optimized certain elements of our forecasting library.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Associate
      • Jan 2020 - May 2022

      In this role, I utilized a wide variety of techniques from the fields of machine learning and statistics to understand the relationships between different neuroimaging modalities and psychiatric constructs. To effectively accomplish this task, I trained models that were both highly predictive, as well as readily interpretable. Additionally, I communicated these results daily with researchers using state of the art visualizations and guides that walked through the intricacies of complex data… Show more In this role, I utilized a wide variety of techniques from the fields of machine learning and statistics to understand the relationships between different neuroimaging modalities and psychiatric constructs. To effectively accomplish this task, I trained models that were both highly predictive, as well as readily interpretable. Additionally, I communicated these results daily with researchers using state of the art visualizations and guides that walked through the intricacies of complex data analysis clearly and effectively.

    • Undergraduate Research Assistant
      • Aug 2019 - Dec 2020

      As an undergraduate research assistant, I performed basic data organization tasks, ran group-level statistical comparisons, and worked on visualizations for scientific papers.

    • United States
    • Software Development
    • 700 & Above Employee
    • STEM Tutor
      • Jan 2018 - Aug 2020

      In this role I tutored undergraduates in mathematics, physics, and chemistry. I also prepared high school students for the ACT and SAT. In this role I tutored undergraduates in mathematics, physics, and chemistry. I also prepared high school students for the ACT and SAT.

Education

  • Michigan Technological University
    Master of Science - MS, Applied Statistics
    2020 - 2022
  • University of Michigan
    Bachelor of Science - BS, Biochemistry
    2016 - 2020

Community

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